DUPLEX: Agentic Dual-System Planning via LLM-Driven Information Extraction
arXiv:2603.23909v1 Announce Type: new
Abstract: While Large Language Models (LLMs) provide semantic flexibility for robotic task planning, their susceptibility to hallucination and logical inconsistency limits their reliability in long-horizon domains…